RGB-D-T based Face Recognition

Publication: Research - peer-reviewArticle in proceeding

Abstract

Facial images are of critical importance in many real-world applications from gaming to surveillance. The current literature on facial image analysis, from face detection to face and facial expression recognition, are mainly performed in either RGB, Depth (D), or both of these modalities. But, such analyzes have rarely included Thermal (T) modality. This paper paves the way for performing such facial analyzes using synchronized RGB-D-T facial images by introducing a database of 51 persons including facial images of different rotations, illuminations, and expressions. Furthermore, a face recognition algorithm has been developed to use these images. The experimental results show that face recognition using such three modalities provides better results compared to face recognition in any of such modalities in most of the cases.
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Facial images are of critical importance in many real-world applications from gaming to surveillance. The current literature on facial image analysis, from face detection to face and facial expression recognition, are mainly performed in either RGB, Depth (D), or both of these modalities. But, such analyzes have rarely included Thermal (T) modality. This paper paves the way for performing such facial analyzes using synchronized RGB-D-T facial images by introducing a database of 51 persons including facial images of different rotations, illuminations, and expressions. Furthermore, a face recognition algorithm has been developed to use these images. The experimental results show that face recognition using such three modalities provides better results compared to face recognition in any of such modalities in most of the cases.
Original languageEnglish
Title of host publicationProceedings 22nd International Conference on Pattern Recognition, ICPR 2014
Place of PublicationSweden
PublisherIEEE Computer Society Press
Publication date24 Aug 2014
Pages1716 - 1721
ISBN (print)978-1-4799-5208-3
DOI
StatePublished - 24 Aug 2014
EventICPR 2014 - Stockholm, Sweden

Conference

ConferenceICPR 2014
LandSweden
ByStockholm
Periode24/08/201428/08/2014
SeriesInternational Conference on Pattern Recognition
ISSN1051-4651

    Keywords

  • RGB, Depth, Thermal, Facial Images, Database

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